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Abstract
We consider the problem of distributed state estimation of continuous-time stochastic processes using a~network of processing nodes. Each node performs measurement and estimation using the Kalman filtering technique, communicates its results to other nodes in the network, and utilizes similar results from the other nodes in its own computations. We assume that the connection graph of the network is not complete, i.e. not all nodes are directly connected, and that the nodes work asynchronously, i.e. they perform measurement and estimation in time moments independent of each other. We evaluate the impact of the way of propagation of information from most precise nodes over the network on the overall performance of distributed estimation.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 11th International Conference on Diagnostics of Processes and Systems (DPS) strony 453 - 462
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Kowalczuk Z., Domżalski M..: Distributed state estimation using a network of asynchronous processing nodes, W: 11th International Conference on Diagnostics of Processes and Systems (DPS), 2014, Uniwersytet Zielonogórski,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-39881-0_38
- Verified by:
- Gdańsk University of Technology
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